The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
A Trial-Based Experimental Design for fMRI
Open accessAbstract
An experimental design for functional MRI (fMRI) is presented whose conceptual units of analysis are behavioral trials, in contrast to blocks of trials. This type of design is referred to as a trial-based (TB) fMRI design. It is explained how TB designs can afford the ability to: (1) randomize the presentation of behavioral trials and (2) utilize intertrial variance in uncontrolled behavioral measures to examine their functional correlates. A particular type of TB design that involves modeling trial-evoked fMRI responses with one or more shifted impulse response functions is described. This design is capable of discriminating functional changes occurring during temporally separated behavioral subcomponents within trials. An example of such a design is implemented and its statistical specificity, functional sensitivity, and functional specificity are tested.
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Cites
Statistical parametric maps in functional imaging: A general linear approach
Friston, K. J., Holmes, A. P., Worsley, K. J., Poline, J. ‐., Frith, C. D., & Frackowiak, R. S. J. (1994) · Human Brain Mapping · doi:10.1002/hbm.460020402 · Cited by 9,688
The discovery of processing stages: Extensions of Donders' method
Sternberg, S. (1969) · Acta Psychologica · doi:10.1016/0001-6918(69)90055-9 · Cited by 3,137
Mnemonic coding of visual space in the monkey's dorsolateral prefrontal cortex
Funahashi, S., Bruce, C. J., & Goldman-Rakic, P. S. (1989) · Journal of Neurophysiology · doi:10.1152/jn.1989.61.2.331 · Cited by 2,685
Localization of a human system for sustained attention by positron emission tomography
Pardo, J. V., Fox, P. T., & Raichle, M. E. (1991) · Nature · doi:10.1038/349061a0 · Cited by 1,284
Memory related motor planning activity in posterior parietal cortex of macaque
Gnadt, J. W., & Andersen, R. A. (1988) · Experimental Brain Research · doi:10.1007/bf00271862 · Cited by 998
Cited by
A Core System for the Implementation of Task Sets
Dosenbach, N. U. F., Visscher, K. M., Palmer, E. D., Miezin, F. M., Wenger, K. K., Kang, H. C., Burgund, E. D., Grimes, A. L., Schlaggar, B. L., & Petersen, S. E. (2006) · Neuron · doi:10.1016/j.neuron.2006.04.031 · Cited by 1,772
Voluntary orienting is dissociated from target detection in human posterior parietal cortex
Corbetta, M., Kincade, J. M., Ollinger, J. M., McAvoy, M. P., & Shulman, G. L. (2000) · Nature Neuroscience · doi:10.1038/73009 · Cited by 1,816
The Cognitive Neuroscience of Working Memory
D'Esposito, M., & Postle, B. R. (2015) · Annual Review of Psychology · doi:10.1146/annurev-psych-010814-015031 · Cited by 1,653
Self-citationLaBar, K. S., Gatenby, J. C., Gore, J. C., LeDoux, J. E., & Phelps, E. A. (1998) · Neuron · doi:10.1016/s0896-6273(00)80475-4 · Cited by 1,402
Konishi, S., Nakajima, K., Uchida, I., Kikyo, H., Kameyama, M., & Miyashita, Y. (1999) · Brain · doi:10.1093/brain/122.5.981 · Cited by 823
Metadata
- Authors
- Zarahn, E., Aguirre, G., & D'Esposito, M.
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 1997-08
- Volume
- 6
- Issue
- 2
- Pages
- 122-138
- ISSN
- 1053-8119 (ISSN-L)
- OpenAlex
- W1999651610
- Cited by
- 418
- References
- 5
- FWCI
- 18.32
- Type
- journal article
- Language
- en
- Open access
- hybrid
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